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  1. Home/
  2. Salary/
  3. Data Pipeline Engineer (ML)/
  4. New York

Data Pipeline Engineer (ML).

New York.

$202,000

median salary, 28% above the national average

$154,000 to $266,000. Updated for 2026.

Get your playbook

The numbers.

Everything you need to negotiate with confidence.

Here is what Data Pipeline Engineer (ML)s actually make in New York: $154,000 at the 25th percentile, $202,000 at the median, and $266,000 at the 75th. That is 28% above the national average. New York City remains one of the world's largest and most diverse job markets, with unmatched density in finance, media, and technology. The number on your offer letter will depend on what you bring and how you ask.

Salary range

25th Percentile

$154,000

per year

Median

$202,000

per year

75th Percentile

$266,000

per year

Tap to place your salary

$154,000$266,000

How New York compares

New York, NY

$202,000

Cost of living: 28% above average

National Average

$158,000

New York is $44,000 above

What you should know

If you are interviewing for Data Pipeline Engineer (ML) roles in New York, here is what you are walking into. New York City remains one of the world's largest and most diverse job markets, with unmatched density in finance, media, and technology. The city's tech sector has grown rapidly, rivaling the Bay Area for venture funding and startup activity. Remote work has reshaped demand slightly, but employers still pay premiums for in office presence in Manhattan. ML data pipeline engineers earn salaries based on the scale and complexity of data systems they build and maintain. Engineers handling petabyte-scale training data pipelines for large model training earn 15 to 25% more than those working with smaller datasets. Experience with both batch and streaming architectures is a consistent salary booster across employers.

Junior ML pipeline engineers start at $120,000 to $142,000. Mid-level engineers managing production ML data flows earn $158,000 to $208,000. Senior engineers and infrastructure leads reach $215,000 to $280,000, while staff engineers designing organization-wide ML data platforms can command $290,000 to $370,000. In New York, those numbers run higher. The cost of living here is 28% above average, and employers adjust to compete.

Base salary is not the full picture. Tech companies offer equity grants of 15 to 25% of base salary with standard four-year vesting schedules. Annual performance bonuses range from 10 to 18%. On-call compensation for production pipeline maintenance adds $8,000 to $18,000 annually at some organizations. And on the tax side: new York State income tax rates reach 10.9%, and New York City adds a local income tax up to 3.876%. Combined with federal taxes, your effective rate can be among the highest nationally. When someone quotes you $202,000, ask what the total package looks like. The gap between base and total comp is where real money hides.

On negotiation: Emphasize your willingness to work from the office in Manhattan. Many NYC employers pay 10 to 15% more for in person roles compared to remote positions. The range for Data Pipeline Engineer (ML)s in New York runs from $154,000 to $266,000. That is not a narrow window. Where you land inside it depends almost entirely on whether you negotiate and how well you prepare.

Top industries in New York

Financial ServicesMedia & AdvertisingTechnologyHealthcareFashion & Retail

Negotiating in New York

Emphasize your willingness to work from the office in Manhattan. Many NYC employers pay 10 to 15% more for in person roles compared to remote positions.

Common questions.

ML pipeline engineers earn 10 to 18% more than general data engineers at equivalent levels. The premium reflects specialized knowledge of training data requirements, feature engineering, model artifact management, and the unique challenges of serving ML workloads at production scale.

Experience with GCP (Vertex AI, Dataflow) and AWS (SageMaker, Glue) commands the highest premiums, typically 8 to 12% above engineers with only open-source tool experience. Multi-cloud expertise is increasingly valued as enterprises avoid vendor lock-in for their ML infrastructure.

The national median for a Data Pipeline Engineer (ML) is $157,813. In New York, cost of living adjustments push the median to $202,000. That premium reflects New York's higher housing, transportation, and everyday costs.

Tech companies offer equity grants of 15 to 25% of base salary with standard four-year vesting schedules. Annual performance bonuses range from 10 to 18%. On-call compensation for production pipeline maintenance adds $8,000 to $18,000 annually at some organizations. In New York's market, the base range of $154,000 to $266,000 is just the starting point for negotiation.

New York's economy is driven by Financial Services, Media & Advertising, Technology, and Healthcare. Data Pipeline Engineer (ML)s are hired across these sectors, though compensation can vary 15 to 25% between industries. Company size and funding stage also influence total packages significantly.

New York's cost of living is 28% above the national average. New York City remains one of the world's largest and most diverse job markets, with unmatched density in finance, media, and technology. Calculate your actual take home pay after housing, taxes, and transportation before deciding. A $202,000 salary here buys a different lifestyle than the same number in another market.

Data Pipeline Engineer (ML) salary in other cities

Houston$153,000
Indianapolis$144,000
Kansas City$147,000
Los Angeles$186,000
Miami$177,000
Minneapolis$166,000

Other salaries in New York

Registered Nurse$105,000
Robotics AI Engineer$224,000
Reinforcement Learning Engineer$256,000
Respiratory Therapist$82,000

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